Abstract
Nighttime image captured at low or non-uniform illumination scene always suffers from the loss of visibility, and contains various noise and objectionable artifact. When we enlarge the amplitude of the lightness, the noise and artifact in nighttime images will be amplified. Hence, we propose a nighttime image enhancement method based on image decomposition. We decompose the input image into two components: Structure Layer contains main information of the image, and Texture Layer contains details, noise and artifact. For the Structure Layer, we apply an improved-Retinex image enhancement algorithm. To remain details and suppress noise and artifact in the Texture Layer, we use Mask Weighted Least Squares method. In the final, we fuse these two components to get the result. The experimental results demonstrate that the proposed approach can improve the perceptual quality of nighttime image while suppressing noise and artifact, and avoiding excessive reinforcement.
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This work was supported by the National Natural Science Foundation of China under Project No. 61472103.
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Jiang, X., Yao, H., Liu, D. (2018). Image Decomposition Based Nighttime Image Enhancement. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10736. Springer, Cham. https://doi.org/10.1007/978-3-319-77383-4_67
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DOI: https://doi.org/10.1007/978-3-319-77383-4_67
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